Abstract
Abstract: Rapid advances in cognitive technology have helped facilitate the seamless transition of human-computer interactions. This study offers a method to fuse voice and facial expressions, consider the addition of emotional information between voice and face, and overcome the limitations of unimodal thinking with a single thought. This survey paper provides a comprehensive overview of the advancements in SER systems, highlighting the evolution of this technology over the years and its applications across various domains. The core of this survey paper explores the methodologies and techniques employed in speech emotion recognition, including feature extraction, machine learning algorithms, deep learning architectures, and database resources.
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